Tsunami data assimilation of Cascadia seafloor pressure gauge records from the 2012 Haida Gwaii earthquake AR Gusman, AF Sheehan, K Satake, M Heidarzadeh, IE Mulia, T Maeda
Geophysical Research Letters 43 (9), 4189-4196, 2016
72 2016 Hybrid ANN–GA model for predicting turbidity and chlorophyll-a concentrations IE Mulia, H Tay, K Roopsekhar, P Tkalich
Journal of Hydro-Environment Research 7 (4), 279-299, 2013
68 2013 Machine learning-based tsunami inundation prediction derived from offshore observations IE Mulia, N Ueda, T Miyoshi, AR Gusman, K Satake
Nature Communications 13 (1), 5489, 2022
54 2022 Regional probabilistic tsunami hazard assessment associated with active faults along the eastern margin of the Sea of Japan IE Mulia, T Ishibe, K Satake, AR Gusman, S Murotani
Earth, Planets and Space 72, 1-15, 2020
50 2020 Optimal design for placements of tsunami observing systems to accurately characterize the inducing earthquake IE Mulia, AR Gusman, K Satake
Geophysical Research Letters 44, 106–12, 2017
37 2017 Preparing for the Future Nankai Trough Tsunami: A Data Assimilation and Inversion Analysis From Various Observational Systems IE Mulia, D Inazu, T Waseda, AR Gusman
Journal of Geophysical Research: Oceans 122, 7924–7937, 2017
36 2017 A tsunami warning system based on offshore bottom pressure gauges and data assimilation for Crete Island in the Eastern Mediterranean Basin Y Wang, M Heidarzadeh, K Satake, IE Mulia, M Yamada
Journal of Geophysical Research: Solid Earth 125 (10), e2020JB020293, 2020
35 2020 Potential deployment of offshore bottom pressure gauges and adoption of data assimilation for tsunami warning system in the western Mediterranean Sea M Heidarzadeh, Y Wang, K Satake, IE Mulia
Geoscience Letters 6 (1), 19, 2019
33 2019 Optimum sea surface displacement and fault slip distribution of the 2017 Tehuantepec earthquake (Mw 8.2) in Mexico estimated from tsunami waveforms AR Gusman, IE Mulia, K Satake
Geophysical Research Letters 45 (2), 646-653, 2018
33 2018 Developments of tsunami observing systems in Japan IE Mulia, K Satake
Frontiers in Earth Science 8, 145, 2020
32 2020 Real-time forecasting of near-field tsunami waveforms at coastal areas using a regularized extreme learning machine IE Mulia, T Asano, A Nagayama
Coastal Engineering 109, 1-8, 2016
31 2016 Simulation of the 2018 tsunami due to the flank failure of Anak Krakatau volcano and implication for future observing systems IE Mulia, S Watada, TC Ho, K Satake, Y Wang, A Aditiya
Geophysical Research Letters 47 (14), e2020GL087334, 2020
29 2020 Alternative to nonlinear model for simulating tsunami inundation in real-time IE Mulia, AR Gusman, K Satake
Geophysical Journal International 214 (3), 2002-2013, 2018
28 2018 An optimized array configuration of tsunami observation network off Southern Java, Indonesia IE Mulia, AR Gusman, AL Williamson, K Satake
Journal of Geophysical Research: Solid Earth 124 (9), 9622-9637, 2019
27 2019 Initial tsunami source estimation by inversion with an intelligent selection of model parameters and time delays IE Mulia, T Asano
Journal of Geophysical Research Oceans 121, 441–456, 2016
27 2016 Applying a deep learning algorithm to tsunami inundation database of megathrust earthquakes IE Mulia, AR Gusman, K Satake
Journal of Geophysical Research: Solid Earth 125 (e2020JB019690), 2020
24 2020 Estimate of tsunami source using optimized unit sources and including dispersion effects during tsunami propagation: The 2012 Haida Gwaii earthquake AR Gusman, IE Mulia, K Satake, S Watada, M Heidarzadeh, AF Sheehan
Geophysical Research Letters 43 (18), 9819-9828, 2016
23 2016 Sensitivity of Tsunami Data to the Up‐Dip Extent of the July 2021 8.2 Alaska Earthquake IE Mulia, AR Gusman, M Heidarzadeh, K Satake
Seismological Society of America 93 (4), 1992-2003, 2022
20 2022 Effects of uncertainty in fault parameters on deterministic tsunami hazard assessment: examples for active faults along the eastern margin of the Sea of Japan K Satake, T Ishibe, S Murotani, IE Mulia, AR Gusman
Earth, Planets and Space 74 (1), 36, 2022
19 2022 Data assimilation using high‐frequency radar for tsunami early warning: A case study of the 2022 Tonga volcanic tsunami Y Wang, K Imai, IE Mulia, K Ariyoshi, N Takahashi, K Sasaki, H Kaneko, ...
Journal of Geophysical Research: Solid Earth 128 (2), e2022JB025153, 2023
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